Researcher - Digital Assets

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Researcher - Digital Assets Zug, Switzerland IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. IMC Zug is currently looking to expand its Research team, which builds the algorithms that support IMC's trading activities. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies. Your Core Responsibilities: - Research within a team of highly experienced Researchers in the low latency, PnL-focused trading space. - Work with a cutting-edge data and software stack. - Work with our high performance computing platform. - Extensive flexibility in exploring PnL-generating opportunities within your research area Your Skills and Experience: - at least 1 year of experience in researching and developing fully-automated low latency crypto trading strategies. Candidates without experience in fully-automated trading strategies shall not be considered for this role. - Background in Statistics, Mathematics, Physics, Computer Science or a related technical field. - Team player. - Strong development skills in Python. Familiarity with C++ is a plus. - Outstanding analytical skills with the ability to learn quickly. Location and Office Culture We give people lots of responsibility and the support they need to make an impact from day one and we promise you a flat structure and an open,

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